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Isabelle Préfontaine; Marc J. Lanovaz; Mélina Rivard – Journal of Autism and Developmental Disorders, 2024
Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Behavior Modification, Intervention
Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Hongxin Yan; Fuhua Lin; Kinshuk – Canadian Journal of Learning and Technology, 2024
Online higher education provides exceptional flexibility in learning but demands high self-regulated learning skills. The deficiency of self-regulated learning skills in many students highlights the need for support. This study introduces a confidence-based adaptive practicing system as an intelligent assessment and tutoring solution to enhance…
Descriptors: Self Management, Online Courses, Intelligent Tutoring Systems, Technology Uses in Education
Cogliano, MeganClaire; Bernacki, Matthew L.; Hilpert, Jonathan C.; Strong, Christy L. – Journal of Educational Psychology, 2022
We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…
Descriptors: Learning Analytics, College Science, Undergraduate Students, Biology
Chen, Jyun-Chen – Interactive Learning Environments, 2022
"Learning by doing" involves completing a practice activity through the method of inquiry. This study combined the predict-observe-explain (POE) inquiry method and hands-on doing processes to develop a cycle-mode POED (predict-observe-explain-do) model with an e-learning system to help students complete a practice activity using…
Descriptors: Inquiry, Prediction, Observation, Hands on Science
Yeh, Hui-Chin; Hung, Hsiu-Ting; Chiang, Yu-Hsin – ReCALL, 2017
Studies suggest that the incorporation of online annotations in reading instruction can improve students' reading comprehension. However, little research has addressed how students use online annotations in their reading processes and how such use may lead to their improvement. This study thus adopted Reciprocal Teaching (RT) as an instructional…
Descriptors: Documentation, Reading Instruction, Reading Comprehension, Reciprocal Teaching
Langston, Randall; Loreto, David – Strategic Enrollment Management Quarterly, 2017
The field of strategic enrollment management has become increasingly invested in data-informed practices. In 2015, The College at Brockport, State University of New York implemented a recruitment strategy that incorporated both predictive analytics and customer relationship management (CRM) technology. This effort both reduced budget expenditures…
Descriptors: Undergraduate Students, Student Recruitment, Marketing, Enrollment Management
Casselman, Brock L.; Atwood, Charles H. – Journal of Chemical Education, 2017
In a first-semester general chemistry course, metacognitive training was implemented as part of an online homework system. Students completed weekly quizzes and multiple practice tests to regularly assess their abilities on the chemistry principles. Before taking these assessments, students predicted their score, receiving feedback after…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Study
Mezei, Peter J.; Heller, Kathryn Wolff – Physical Disabilities: Education and Related Services, 2012
Many students with physical disabilities have difficulty with writing fluency due to motor limitations. One type of assistive technology that has been developed to improve writing speed and accuracy is word prediction software, although there is a paucity of research supporting its use for individuals with physical disabilities. This study used an…
Descriptors: Educational Technology, Assistive Technology, Prediction, Physical Disabilities
Kim, Hye Jeong; Miller, Heather R.; Herbert, Bruce; Pedersen, Susan; Loving, Cathy – Journal of Science Education and Technology, 2012
In this study, a wiki was integrated into a professional development model that systemically addresses early-career teachers' needs. This study was conducted to examine the impact of wiki-based professional development activities in a scientist-teacher professional learning community and focused on early-career teachers' perceptions of the role of…
Descriptors: Cooperation, Program Effectiveness, Science Teachers, Scientists
Persinger, Jon F. – ProQuest LLC, 2010
This research study examined whether the overall effectiveness of the Information Technology Infrastructure Library (ITIL) could be predicted by measuring multiple independent variables. The primary variables studied included the number of ITIL process modules adopted and the overall ITIL "maturity level." An online survey was used to…
Descriptors: Information Technology, Program Effectiveness, Prediction, Surveys
Li, Feng – ProQuest LLC, 2011
Video-based eye tracking techniques have become increasingly attractive in many research fields, such as visual perception and human-computer interface design. The technique primarily relies on the positional difference between the center of the eye's pupil and the first-surface reflection at the cornea, the corneal reflection (CR). This…
Descriptors: Program Effectiveness, Human Body, Visual Stimuli, Video Technology
Jolly, Richard Donald – ProQuest LLC, 2011
Leveraging the knowledge of an organization is an ongoing challenge that has given rise to the field of knowledge management. Yet, despite spending enormous sums of organizational resources on Information Technology (IT) systems, executives recognize there is much more knowledge to harvest. Prediction markets are emerging as one tool to help…
Descriptors: Information Technology, Knowledge Management, Program Effectiveness, Prediction
Arnold, Kimberly E. – EDUCAUSE Quarterly, 2010
Academic analytics helps address the public's desire for institutional accountability with regard to student success, given the widespread concern over the cost of higher education and the difficult economic and budgetary conditions prevailing worldwide. Purdue University's Signals project applies the principles of analytics widely used in…
Descriptors: Intelligence, Graduation Rate, At Risk Students, Program Effectiveness
Park, Insu – ProQuest LLC, 2010
The purpose of this study is to explore systems users' behavior on IS under the various circumstances (e.g., email usage and malware threats, online communication at the individual level, and IS usage in organizations). Specifically, the first essay develops a method for analyzing and predicting the impact category of malicious code, particularly…
Descriptors: Hospitals, Privacy, Prediction, Computer Security
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